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Multi-focus image processing for visual effect generations

用于生成视觉效果的多焦点图像处理

基本信息

批准号：
13450150
负责人：
AIZAWA Kiyoharu
金额：
$ 6.53万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13450150/
关键词：
Focus Blur Visual effect Image Based Rendering Motion blur Image fusion Microscopic images Insects 仮想視点画像

项目摘要

In this project, we have investigated an innovative approach to image/video contents manipulation for various visual effect generation. In the conventional approach, the image and video have to be segmented into objects and objects are separately applied by various visual effects. Our approach is totally different from the conventional approach, in which we use multiple differently focused images and directly generate the target image without segmentation. In our new method, we can generate object-based visual effects onfy by linear processing. The specific achievements we have made in this project is shown below.1) Development of theoretical foundation of multi-focus image processing. Rendering of various visual effects such as blur, motion blur, enhancement, phase shift was able to be controlled object by object only by linear processing of multiple differently focused images.2) Automation of preprocessing. Registration (position, scale) is required as a preprocessing. The required preprocessing was automated.3) Virtual view generation. Foreground and background objects were shifted by our method and virtual views were generated. The method was further applied to the so called light field rendering. Each camera of the camera array captured two differently focused images and the new views were generated from them. Because of our technique, smooth interpolation under small number of camera was achieved.4) Image processing of microscopic images of insects. Microscopic images of insects were processed so that all focus image was generated. A large number of microscopic images were used for evaluation of the method. Depth image of the insects was also generated.

在这个项目中，我们研究了一种创新的方法来处理图像/视频内容，以产生各种视觉效果。在传统的方法中，图像和视频必须被分割成对象，并且对象被单独地应用各种视觉效果。我们的方法是完全不同于传统的方法，在传统的方法中，我们使用多个不同的聚焦图像，并直接生成目标图像没有分割。在我们的新方法中，我们可以通过线性处理来生成基于对象的视觉效果。具体成果如下：1）多聚焦图像处理理论基础的发展。各种视觉效果的渲染，如模糊，运动模糊，增强，相移，能够被控制的对象对象，只有通过线性处理的多个不同的重点图像。2）预处理的自动化。需要配准（位置、比例）作为预处理。所需的预处理是自动的。3）虚拟视图生成。通过该方法实现了前景和背景物体的平移，生成了虚拟视图。该方法被进一步应用到所谓的光场绘制。相机阵列的每个相机捕获两个不同聚焦的图像，并从它们生成新视图。该方法实现了在少量摄像机下的平滑插值。4）昆虫显微图像的图像处理。对昆虫显微图像进行处理，生成全聚焦图像。大量显微图像用于评价该方法。还生成了昆虫的深度图像。